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October 11, 2022; 99 (15) Research Article

CSF Alzheimer Disease Biomarkers

Time-Varying Relationships With MCI Symptom Onset and Associations With Age, Sex, and ApoE4

View ORCID ProfileBarry D. Greenberg, View ORCID ProfileCorinne Pettigrew, View ORCID ProfileAnja Soldan, Jiangxia Wang, View ORCID ProfileMei-Cheng Wang, View ORCID ProfileJacqueline A. Darrow, View ORCID ProfileMarilyn S. Albert, View ORCID ProfileAbhay Moghekar
First published October 10, 2022, DOI: https://doi.org/10.1212/WNL.0000000000200953
Barry D. Greenberg
From the Department of Neurology (B.D.G., C.P., A.S., J.A.D., M.S.A., A.M.), Johns Hopkins University School of Medicine; and Department of Biostatistics (J.W., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
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  • ORCID record for Barry D. Greenberg
Corinne Pettigrew
From the Department of Neurology (B.D.G., C.P., A.S., J.A.D., M.S.A., A.M.), Johns Hopkins University School of Medicine; and Department of Biostatistics (J.W., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
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Anja Soldan
From the Department of Neurology (B.D.G., C.P., A.S., J.A.D., M.S.A., A.M.), Johns Hopkins University School of Medicine; and Department of Biostatistics (J.W., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
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Jiangxia Wang
From the Department of Neurology (B.D.G., C.P., A.S., J.A.D., M.S.A., A.M.), Johns Hopkins University School of Medicine; and Department of Biostatistics (J.W., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
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Mei-Cheng Wang
From the Department of Neurology (B.D.G., C.P., A.S., J.A.D., M.S.A., A.M.), Johns Hopkins University School of Medicine; and Department of Biostatistics (J.W., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
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Jacqueline A. Darrow
From the Department of Neurology (B.D.G., C.P., A.S., J.A.D., M.S.A., A.M.), Johns Hopkins University School of Medicine; and Department of Biostatistics (J.W., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
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Marilyn S. Albert
From the Department of Neurology (B.D.G., C.P., A.S., J.A.D., M.S.A., A.M.), Johns Hopkins University School of Medicine; and Department of Biostatistics (J.W., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
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Abhay Moghekar
From the Department of Neurology (B.D.G., C.P., A.S., J.A.D., M.S.A., A.M.), Johns Hopkins University School of Medicine; and Department of Biostatistics (J.W., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
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CSF Alzheimer Disease Biomarkers
Time-Varying Relationships With MCI Symptom Onset and Associations With Age, Sex, and ApoE4
Barry D. Greenberg, Corinne Pettigrew, Anja Soldan, Jiangxia Wang, Mei-Cheng Wang, Jacqueline A. Darrow, Marilyn S. Albert, Abhay Moghekar
Neurology Oct 2022, 99 (15) e1640-e1650; DOI: 10.1212/WNL.0000000000200953

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Abstract

Background and Objectives This study aimed to examine whether baseline CSF measures of Alzheimer disease (AD)–related pathology are associated with the time to onset of mild cognitive impairment (MCI) and whether these associations differ by age, sex, Apolipoprotein E (ApoE4) status, and proximal (≤7 years) vs distal (>7 years) time to symptom onset.

Methods Measures of amyloid (Aβ1-42 and Aβ1-40), phospho-tau (ptau181), and total tau (t-tau) were determined from CSF samples obtained at baseline from participants in an ongoing longitudinal project, known as the Biomarkers for Older Controls at Risk for Alzheimer Disease study (BIOCARD) study. The fully automated, Lumipulse G immunoassay was used to analyze the specimens. Cox regression models were used to examine the relationship of baseline biomarker levels with time to symptom onset of MCI and interactions with age, sex, and ApoE allelic status in subjects who progressed from normal cognition to MCI.

Results Analyses included 273 participants from the BIOCARD cohort, who were cognitively normal and predominantly middle-aged at baseline, and have been followed for an average of 16 years (max = 23.6). During follow-up, 94 progressed to MCI (median time to symptom onset = 6.9 years). In Cox regression models, elevated ptau181 and t-tau levels were associated with time to MCI symptom onset if it occurred within 7 years of baseline (HR 1.386 and 1.329; p = 0.009 and 0.017, respectively), while a lower Aβ42/Aβ40 ratio was associated with symptom onset if it occurred >7 years from baseline (HR 0.596, p = 0.003). There were also significant 3-way CSF × age × sex interactions for ptau181 and Aβ42/Aβ40, with follow-up analyses indicating that associations between these biomarkers and progression to MCI were stronger among men than among women, but this difference between sexes diminished with increasing age.

Discussion The lengthy follow-up of BIOCARD participants permitted an examination of time-varying associations between CSF AD biomarkers with MCI symptom onset and the influence of sex, baseline age, and ApoE4 genotype on these associations. These factors may inform clinical trial enrollment strategies, or trial duration and outcomes, which may use these measures as surrogate markers of treatment response.

Glossary

Aβ=
β-amyloid;
AD=
Alzheimer disease;
ApoE=
Apolipoprotein E;
BIOCARD=
Biomarkers for Older Controls at Risk for Alzheimer Disease study;
CDR=
Clinical Dementia Rating scale;
HR=
hazard ratio;
MCI=
mild cognitive impairment;
MMSE=
mini-mental state examination;
ptau=
phospho-tau;
t-tau=
total tau

Footnotes

  • Go to Neurology.org/N for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.

  • Submitted and externally peer reviewed. The handling editor was Linda Hershey, MD, PhD, FAAN.

  • Received January 15, 2022.
  • Accepted in final form May 24, 2022.
  • © 2022 American Academy of Neurology
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